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9
cs440-acg/ext/eigen/demos/mix_eigen_and_c/README
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9
cs440-acg/ext/eigen/demos/mix_eigen_and_c/README
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This is an example of how one can wrap some of Eigen into a C library.
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To try this with GCC, do:
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g++ -c binary_library.cpp -O2 -msse2 -I ../..
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gcc example.c binary_library.o -o example -lstdc++
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./example
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TODO: add CMakeLists, add more explanations here
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185
cs440-acg/ext/eigen/demos/mix_eigen_and_c/binary_library.cpp
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185
cs440-acg/ext/eigen/demos/mix_eigen_and_c/binary_library.cpp
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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// This C++ file compiles to binary code that can be linked to by your C program,
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// thanks to the extern "C" syntax used in the declarations in binary_library.h.
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#include "binary_library.h"
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#include <Eigen/Core>
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using namespace Eigen;
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/************************* pointer conversion methods **********************************************/
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////// class MatrixXd //////
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inline MatrixXd& c_to_eigen(C_MatrixXd* ptr)
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{
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return *reinterpret_cast<MatrixXd*>(ptr);
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}
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inline const MatrixXd& c_to_eigen(const C_MatrixXd* ptr)
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{
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return *reinterpret_cast<const MatrixXd*>(ptr);
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}
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inline C_MatrixXd* eigen_to_c(MatrixXd& ref)
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{
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return reinterpret_cast<C_MatrixXd*>(&ref);
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}
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inline const C_MatrixXd* eigen_to_c(const MatrixXd& ref)
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{
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return reinterpret_cast<const C_MatrixXd*>(&ref);
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}
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////// class Map<MatrixXd> //////
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inline Map<MatrixXd>& c_to_eigen(C_Map_MatrixXd* ptr)
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{
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return *reinterpret_cast<Map<MatrixXd>*>(ptr);
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}
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inline const Map<MatrixXd>& c_to_eigen(const C_Map_MatrixXd* ptr)
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{
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return *reinterpret_cast<const Map<MatrixXd>*>(ptr);
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}
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inline C_Map_MatrixXd* eigen_to_c(Map<MatrixXd>& ref)
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{
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return reinterpret_cast<C_Map_MatrixXd*>(&ref);
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}
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inline const C_Map_MatrixXd* eigen_to_c(const Map<MatrixXd>& ref)
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{
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return reinterpret_cast<const C_Map_MatrixXd*>(&ref);
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}
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/************************* implementation of classes **********************************************/
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////// class MatrixXd //////
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C_MatrixXd* MatrixXd_new(int rows, int cols)
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{
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return eigen_to_c(*new MatrixXd(rows,cols));
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}
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void MatrixXd_delete(C_MatrixXd *m)
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{
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delete &c_to_eigen(m);
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}
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double* MatrixXd_data(C_MatrixXd *m)
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{
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return c_to_eigen(m).data();
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}
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void MatrixXd_set_zero(C_MatrixXd *m)
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{
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c_to_eigen(m).setZero();
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}
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void MatrixXd_resize(C_MatrixXd *m, int rows, int cols)
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{
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c_to_eigen(m).resize(rows,cols);
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}
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void MatrixXd_copy(C_MatrixXd *dst, const C_MatrixXd *src)
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{
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c_to_eigen(dst) = c_to_eigen(src);
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}
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void MatrixXd_copy_map(C_MatrixXd *dst, const C_Map_MatrixXd *src)
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{
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c_to_eigen(dst) = c_to_eigen(src);
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}
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void MatrixXd_set_coeff(C_MatrixXd *m, int i, int j, double coeff)
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{
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c_to_eigen(m)(i,j) = coeff;
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}
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double MatrixXd_get_coeff(const C_MatrixXd *m, int i, int j)
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{
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return c_to_eigen(m)(i,j);
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}
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void MatrixXd_print(const C_MatrixXd *m)
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{
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std::cout << c_to_eigen(m) << std::endl;
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}
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void MatrixXd_multiply(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd *result)
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{
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c_to_eigen(result) = c_to_eigen(m1) * c_to_eigen(m2);
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}
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void MatrixXd_add(const C_MatrixXd *m1, const C_MatrixXd *m2, C_MatrixXd *result)
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{
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c_to_eigen(result) = c_to_eigen(m1) + c_to_eigen(m2);
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}
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////// class Map_MatrixXd //////
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C_Map_MatrixXd* Map_MatrixXd_new(double *array, int rows, int cols)
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{
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return eigen_to_c(*new Map<MatrixXd>(array,rows,cols));
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}
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void Map_MatrixXd_delete(C_Map_MatrixXd *m)
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{
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delete &c_to_eigen(m);
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}
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void Map_MatrixXd_set_zero(C_Map_MatrixXd *m)
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{
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c_to_eigen(m).setZero();
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}
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void Map_MatrixXd_copy(C_Map_MatrixXd *dst, const C_Map_MatrixXd *src)
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{
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c_to_eigen(dst) = c_to_eigen(src);
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}
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void Map_MatrixXd_copy_matrix(C_Map_MatrixXd *dst, const C_MatrixXd *src)
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{
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c_to_eigen(dst) = c_to_eigen(src);
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}
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void Map_MatrixXd_set_coeff(C_Map_MatrixXd *m, int i, int j, double coeff)
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{
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c_to_eigen(m)(i,j) = coeff;
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}
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double Map_MatrixXd_get_coeff(const C_Map_MatrixXd *m, int i, int j)
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{
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return c_to_eigen(m)(i,j);
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}
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void Map_MatrixXd_print(const C_Map_MatrixXd *m)
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{
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std::cout << c_to_eigen(m) << std::endl;
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}
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void Map_MatrixXd_multiply(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2, C_Map_MatrixXd *result)
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{
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c_to_eigen(result) = c_to_eigen(m1) * c_to_eigen(m2);
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}
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void Map_MatrixXd_add(const C_Map_MatrixXd *m1, const C_Map_MatrixXd *m2, C_Map_MatrixXd *result)
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{
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c_to_eigen(result) = c_to_eigen(m1) + c_to_eigen(m2);
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}
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71
cs440-acg/ext/eigen/demos/mix_eigen_and_c/binary_library.h
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71
cs440-acg/ext/eigen/demos/mix_eigen_and_c/binary_library.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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// This is a pure C header, no C++ here.
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// The functions declared here will be implemented in C++ but
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// we don't have to know, because thanks to the extern "C" syntax,
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// they will be compiled to C object code.
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#ifdef __cplusplus
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extern "C"
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{
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#endif
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// just dummy empty structs to give different pointer types,
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// instead of using void* which would be type unsafe
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struct C_MatrixXd {};
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struct C_Map_MatrixXd {};
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// the C_MatrixXd class, wraps some of the functionality
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// of Eigen::MatrixXd.
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struct C_MatrixXd* MatrixXd_new(int rows, int cols);
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void MatrixXd_delete (struct C_MatrixXd *m);
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double* MatrixXd_data (struct C_MatrixXd *m);
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void MatrixXd_set_zero (struct C_MatrixXd *m);
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void MatrixXd_resize (struct C_MatrixXd *m, int rows, int cols);
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void MatrixXd_copy (struct C_MatrixXd *dst,
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const struct C_MatrixXd *src);
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void MatrixXd_copy_map (struct C_MatrixXd *dst,
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const struct C_Map_MatrixXd *src);
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void MatrixXd_set_coeff (struct C_MatrixXd *m,
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int i, int j, double coeff);
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double MatrixXd_get_coeff (const struct C_MatrixXd *m,
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int i, int j);
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void MatrixXd_print (const struct C_MatrixXd *m);
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void MatrixXd_add (const struct C_MatrixXd *m1,
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const struct C_MatrixXd *m2,
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struct C_MatrixXd *result);
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void MatrixXd_multiply (const struct C_MatrixXd *m1,
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const struct C_MatrixXd *m2,
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struct C_MatrixXd *result);
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// the C_Map_MatrixXd class, wraps some of the functionality
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// of Eigen::Map<MatrixXd>
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struct C_Map_MatrixXd* Map_MatrixXd_new(double *array, int rows, int cols);
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void Map_MatrixXd_delete (struct C_Map_MatrixXd *m);
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void Map_MatrixXd_set_zero (struct C_Map_MatrixXd *m);
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void Map_MatrixXd_copy (struct C_Map_MatrixXd *dst,
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const struct C_Map_MatrixXd *src);
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void Map_MatrixXd_copy_matrix(struct C_Map_MatrixXd *dst,
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const struct C_MatrixXd *src);
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void Map_MatrixXd_set_coeff (struct C_Map_MatrixXd *m,
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int i, int j, double coeff);
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double Map_MatrixXd_get_coeff (const struct C_Map_MatrixXd *m,
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int i, int j);
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void Map_MatrixXd_print (const struct C_Map_MatrixXd *m);
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void Map_MatrixXd_add (const struct C_Map_MatrixXd *m1,
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const struct C_Map_MatrixXd *m2,
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struct C_Map_MatrixXd *result);
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void Map_MatrixXd_multiply (const struct C_Map_MatrixXd *m1,
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const struct C_Map_MatrixXd *m2,
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struct C_Map_MatrixXd *result);
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#ifdef __cplusplus
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} // end extern "C"
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#endif
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65
cs440-acg/ext/eigen/demos/mix_eigen_and_c/example.c
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65
cs440-acg/ext/eigen/demos/mix_eigen_and_c/example.c
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
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//
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// This Source Code Form is subject to the terms of the Mozilla
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// Public License v. 2.0. If a copy of the MPL was not distributed
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// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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#include "binary_library.h"
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#include "stdio.h"
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void demo_MatrixXd()
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{
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struct C_MatrixXd *matrix1, *matrix2, *result;
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printf("*** demo_MatrixXd ***\n");
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matrix1 = MatrixXd_new(3, 3);
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MatrixXd_set_zero(matrix1);
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MatrixXd_set_coeff(matrix1, 0, 1, 2.5);
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MatrixXd_set_coeff(matrix1, 1, 0, 1.4);
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printf("Here is matrix1:\n");
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MatrixXd_print(matrix1);
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matrix2 = MatrixXd_new(3, 3);
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MatrixXd_multiply(matrix1, matrix1, matrix2);
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printf("Here is matrix1*matrix1:\n");
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MatrixXd_print(matrix2);
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MatrixXd_delete(matrix1);
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MatrixXd_delete(matrix2);
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}
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// this helper function takes a plain C array and prints it in one line
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void print_array(double *array, int n)
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{
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struct C_Map_MatrixXd *m = Map_MatrixXd_new(array, 1, n);
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Map_MatrixXd_print(m);
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Map_MatrixXd_delete(m);
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}
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void demo_Map_MatrixXd()
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{
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struct C_Map_MatrixXd *map;
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double array[5];
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int i;
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printf("*** demo_Map_MatrixXd ***\n");
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for(i = 0; i < 5; ++i) array[i] = i;
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printf("Initially, the array is:\n");
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print_array(array, 5);
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map = Map_MatrixXd_new(array, 5, 1);
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Map_MatrixXd_add(map, map, map);
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Map_MatrixXd_delete(map);
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printf("Now the array is:\n");
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print_array(array, 5);
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}
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int main()
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{
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demo_MatrixXd();
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demo_Map_MatrixXd();
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}
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